The expectation and maximization steps in our method are analogous to
re-localization and re-training steps in [1]}.
In MI-SVM, only the proposal with the highest score is
labeled positive in the re-localization step while our COL method infers soft labels
in the expectation step via an attention mechanism. Using soft labels could be
beneficial as they reflect the uncertainty in choosing the common object.
